Distributions of debris as measured by the NASA-WISE instrument

Nystrom, Emily; Murray-Krezan, Jeremy

doi:10.1117/12.2178212

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…Unfortunately, these show neither conspicuous nor conclusive trends. In prior work distributions were observed using band ratio techniques 5 . Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Specifically, the NASA-WISE instrument captured unresolved measurements of space debris in the GEO belt. The U.S. Air Force Research Lab created a debris catalog that includes measurements of over 2,000 new, previously un-cataloged, Debris objects near the GEO belt 2,4,5 . Since the original debris and satellite database was created, it has been reproduced by others in academia 6,3 .…”

Section: Methodology 21 Nasa-wise Space Object Catalogmentioning

confidence: 99%

“…As with any statistical approach care must be taken to not over fit, and therefore we carefully investigated parameters of the model, such as the number of manifolds (5), decision tree levels, and which of the observational variables seemed the most influential. We explored all of those parameters while considering confusion matrices and other standard metrics for goodness.…”

Section: Machine Learning Classifiers Approachmentioning

confidence: 99%

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Advanced statistical characterization of multispectral infrared properties of the GEO belt debris population

Murray-Krezan

2023

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX

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Multi-spectral infrared remote-sensing is a powerful tool for characterization of space objects. Unfortunately, it is rarely applied due to lack of applicable data. Fortunately, a few relevant historical databases, such as the NASA-Wide Field Infrared Explorer (NASA-WISE) space debris database, exist and permit investigation of the properties of space objects. This space debris database includes measurements in the mid-wave and long-wave infrared bands. In this work we demonstrate statistical characterization of unresolved multi-spectral infrared space debris data, through analysis of statistics of the space object populations' observed infrared properties. Space objects are categorized according to derived thermal properties. Statistical tests are developed that allow classification based on new measurements of thermal properties.

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“…Unfortunately, these show neither conspicuous nor conclusive trends. In prior work distributions were observed using band ratio techniques 5 . Fig.…”

Section: Resultsmentioning

confidence: 99%